Digitalization in mechanical engineering

What does digitalization mean in mechanical engineering?

Mechanical engineering is one of the main pillars of the German economy and at the same time one of the sectors in which the pressure for digital transformation is growing the most. Global competition, rising material costs, shorter innovation cycles and the shortage of skilled workers require a fundamental rethink. Companies that still rely on analog processes, isolated systems and reactive maintenance are losing out to competitors that already manage their machines, systems and customer relationships digitally.

Digitalization in mechanical engineering - often referred to as Industry 4.0, smart manufacturing or IIoT (Industrial Internet of Things) - means that machines communicate with each other and with higher-level systems. Production data flows into decision-making processes in real time. Maintenance is predictive instead of reactive. Customers gain direct access to the status data of their systems via digital portals - and machine manufacturers use this to develop new, data-driven business models.

prodot has been supporting mechanical engineering companies on this path for over 25 years. With more than 80 IT experts, we develop IoT platforms, predictive maintenance solutions, customer portals and industrial manufacturing software from the initial requirements analysis through to ongoing operation.

The status quo: digitization gap in German mechanical engineering

The initial situation is clear and shows where there is a need for action. According to a joint study by VDMA and McKinsey, digital platforms and value-added services currently account for around 0.7% of total sales in the European mechanical engineering sector, with a total market of around 850 billion euros. The potential is enormous, but implementation is lagging behind. In its study "Nextgen Production", Roland Berger states that around two out of three digitalization projects in industry do not make it past the planning phase.

In our projects, we regularly come up against the same stumbling blocks:

• Data silos and a lack of system integration. Although machines record operating data, this ends up in isolated systems and reaches neither the ERP nor the service team.

• Lack of resources for implementation. IT budgets are limited, the core competence lies in mechanical engineering - not in software development.

• Lack of clarity about the right entry point. Many companies know that they need to digitize, but don't know where to start.

• Outdated system landscapes. Outdated ERP structures, heterogeneous machinery and a lack of interfaces make integration difficult.

The pressure is increasing and the technological possibilities to catch up are available. What is missing is the right entry point and a partner who knows the way.

The most important areas of digitalization in mechanical engineering

Digital transformation is most beneficial in mechanical engineering where it directly intervenes in operational processes. The most important fields of application at a glance:

IoT and condition monitoring. Machines and systems continuously supply operating data via sensors: Temperature, vibration, pressure, utilization, energy consumption. This data is collated and analyzed in real time on a central platform - even for machines that previously had no native connectivity.

Predictive maintenance. Instead of carrying out maintenance at fixed intervals, the solution recognizes the actual need for maintenance based on sensor and operating data - before a breakdown occurs. This reduces unplanned downtimes, extends machine running times and optimizes the deployment of service teams.

Digital twins. Virtual images of physical machines make it possible to simulate production processes, identify bottlenecks and test optimizations - before they are physically implemented at great expense.

ERP integration and automated data transfer. Machine data, maintenance orders and key production figures flow automatically into SAP or other ERP systems - without any manual intermediate steps. Maintenance orders, spare parts orders and cost centers are triggered and assigned automatically.

Digital customer portals. Machine manufacturers that offer their customers real-time transparency about the status of their machines and systems create measurable added value and differentiate themselves from the competition. Portals show operating hours, error codes, maintenance status and usage statistics - and enable new service-based business models.

AI-supported quality assurance. Image recognition systems and anomaly algorithms automatically check production parts for defects - faster and more consistently than manual checks. Rejects are detected earlier and rework rates are reduced.

Remote maintenance and remote service. Technicians access machine parameters directly via secure connections, diagnose faults remotely and reduce on-site visits. Response times are shortened and service costs are reduced.

Reference: IoT platform and customer portal for a leading plant manufacturer

A project that prodot implemented for an international manufacturer of conveyor and transport systems shows what digitalization in mechanical engineering looks like in concrete terms.

The challenge: the manufacturer operates thousands of systems for its customers worldwide. Although status data was recorded by sensors, it was available in isolated systems and comprehensive evaluation was hardly possible. Maintenance was carried out reactively after failure or at fixed intervals, regardless of the actual machine condition. Customers had no direct access to the operating data of their systems.

The solution: prodot developed a solution based on its own IoT-X platform that aggregates sensor data in real time, detects anomalies at an early stage and predicts maintenance requirements. A digital customer portal was built for the end customer that transparently displays the system status, key operating figures and predictive maintenance alerts - across all devices, role-based and in real time.

The results at a glance:

• Up to 30% reduction in unplanned downtime thanks to predictive maintenance based on real operating data.

• Significant reduction in service costs thanks to remote diagnostics and targeted on-site interventions instead of reactive emergency maintenance.

• New service model based on pay-per-performance - made possible by seamless operating data transparency.

• Real-time transparency for customers on the status of all connected systems - with filter functions across time periods, locations and device groups.

• Scalable authorization concept: technicians, dispatchers and managers only see the data for which they are authorized.

The prodot IoT-X Platform: from machine data to business processes

In many mechanical engineering companies, the IoT approach ends exactly where it should begin: Data is created, ends up in silos and doesn't find its way into business processes. Machines communicate, but nobody listens.

With the IoT-X Platform, prodot has developed a solution that addresses precisely this issue. The platform aggregates data from different sources - sensors, controllers, ERP and third-party software - in a standardized interface, makes it evaluable in real time and translates it directly into operational processes and service models.

What the IoT-X Platform actually does for mechanical engineering:

• Manufacturer-independent connection via open standards such as OPC-UA, MQTT and REST-API - even older systems without native connectivity can be retrofitted.

• Real-time dashboards and alerts for machine statuses, operating parameters and critical events - at workshop level and in the management cockpit.

• Automatic SAP integration: maintenance orders, spare parts orders and machine time allocations are triggered without any manual intermediate steps.

• Customer portal integration: Operating data flows directly into multi-client capable customer portals - the basis for new, data-driven service offerings.

• Scalable entry: An initial use case is sufficient as a starting point - the platform grows with the requirements.

• Available in the Microsoft Azure Marketplace with ready-to-use modules for data aggregation, reporting and process automation.

What digitalization brings to mechanical engineering: the business case

Those who invest in digital transformation see measurable results. According to a McKinsey analysis on smart manufacturing, mechanical engineering companies that consistently use IoT and predictive maintenance achieve the following improvements over five years:

1. 18-25% reduction in maintenance costs through predictive maintenance and more targeted service calls.

2. 5-15% increase in machine utilization through real-time monitoring and early fault detection

3. 30-50% reduction in unplanned downtimes thanks to proactive maintenance instead of reactive repairs.

Particularly important for mechanical engineering: digitalization is not just about efficiency. It opens up completely new sources of revenue - from service-based business models and pay-per-use to data-driven maintenance contracts with transparent performance measurement.

Why prodot is the right partner for digitalization in mechanical engineering

Digitalization projects in mechanical engineering rarely fail because of the technology. They fail when solutions do not match the actual production and service processes, when data silos are not broken down or when the path from sensor to business decision is not consistently thought through to the end.

We combine IT expertise with an understanding of machines. Technical know-how alone is not enough. A good partner understands its customers' operating processes and develops solutions that fit them - not solutions that work in theory but fail on the store floor. prodot brings both to the table.

We integrate what is already there. No machine manufacturer starts from scratch. Established ERP landscapes, heterogeneous machinery and different control systems are the starting point - not the obstacle. We develop solutions that fit into existing structures: manufacturer-independent, cross-system, standards-compliant.

We deliver transparency that is relevant to decision-making. Our solutions do not simply provide more data, but the right data - prepared for service technicians, production managers, management and their customers.

We provide end-to-end support. From requirements analysis through development and integration to ongoing operation - everything from a single source. No subcontracting, no gaps in responsibility.

We build for growth. Modular architectures and open standards ensure that solutions grow with requirements. New machine types, additional production sites or extended service models can be integrated without affecting the overall system.